Huan Lan

1.0k citations
31 papers · 577 · h-index 12

Impact in

Papers in

Huan Lan

30 papers receiving 567 citations

Peers

Huan Lan
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 296
  • Cellular and Molecular Neuroscience 91
  • Molecular Biology 286
  • Biological Psychiatry 5
  • Cancer Research 29
Replace Xiaoyan Qi with:
Xiaoyan Qi China
Wan Seok Kang South Korea
Eleonora Bassino Italy
Leming Fan China
Fujian Wu China
Wenhui Ding China
Junxian Cao China
Xuezhi Cui United States
Yue Qiu China
Makoto Okabe Japan
Huan Lan relative to Xiaoyan Qi China Xiaoyan Qi's profile →
Citations per field
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Xiaoyan Qi · 1×
Citations per year

Countries citing papers authored by Huan Lan

Since Specialization
Citations

This map shows the geographic impact of Huan Lan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan Lan more than expected).

Fields of papers citing papers by Huan Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huan Lan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huan Lan. The network helps show where Huan Lan may publish in the future.

Co-authors

The 25 scholars most cited alongside Huan Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huan Lan Line = papers co-authored together Huan Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 201880
3 201852
4 201851
5 201849
6 201921
7 202119
8 202418
9 201918
10 202016
11 201315
12 202114
13 202011
14 202010
15 202210
16 20229
17 20198
18 20228
19 20236
20 20224

About Huan Lan

Huan Lan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cancer Research and Surgery, having authored 31 papers that have together received 577 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Pluripotent Stem Cells Research (7 papers), Neuroscience and Neural Engineering (6 papers), Ion channel regulation and function (5 papers), Cardiac Structural Anomalies and Repair (3 papers), Cancer-related molecular mechanisms research (3 papers), Cardiac pacing and defibrillation studies (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (296 citations), Cellular and Molecular Neuroscience (91 citations), Molecular Biology (286 citations), Biological Psychiatry (5 citations) and Cancer Research (29 citations). Huan Lan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiaobo Zhou, Ibrahim El‐Battrawy, İbrahim Akın, Siegfried Lang, Lukas Cyganek, Thomas Wieland, Martin Borggrefe, Jochen Utikal, Wolfram‐Hubertus Zimmermann and Fanis Buljubasic. Their work appears in journals such as Scientific Reports, EP Europace, European Heart Journal, Frontiers in Pharmacology and Frontiers in Cardiovascular Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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